IDEAS home Printed from https://ideas.repec.org/a/aic/revebs/y2021j28ciobanua.html
   My bibliography  Save this article

Ai Ethics In Business €“ A Bibliometric Approach

Author

Listed:
  • ALEXANDRU CONSTANTIN CIOBANU

    (Doctoral School of Economics and Business Administration, Alexandru Ioan Cuza University of IaÅŸi, Faculty of Economics and Business Administration, IaÅŸi, Romania)

  • GABRIELA MEȘNIȚĂ

    (Alexandru Ioan Cuza University of IaÅŸi, Faculty of Economics and Business Administration, IaÅŸi, Romania)

Abstract

Different businesses utilize Artificial intelligence (AI) to accelerate their digital transformation aiming to enhance specific outcomes while maximize productivity. Artificial Intelligence technologies have evolved rapidly and the interest to study this field has increased accordingly. In this context, the researchers were interested not only on the technical side of AI, but also on its impact on economy, or business. This study reviews, trough bibliometric techniques, the key players, and the main discussed topics, that contribute to the research of ethics of AI solutions implemented in business. We analyzed the most cited 2000 articles extracted from Scopus databases, and we used VOSviewer to visualize the identified data. The insights provided through this paper are valuable for the researchers that are exploring the AI ethics, as well as for specific audiences from different domains such as social sciences, business decision making, IT management, government, and public policy decision-makers.

Suggested Citation

  • Alexandru Constantin Ciobanu & Gabriela Meè˜Nièšä‚, 2021. "Ai Ethics In Business €“ A Bibliometric Approach," Review of Economic and Business Studies, Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, issue 28, pages 169-202, December.
  • Handle: RePEc:aic:revebs:y:2021:j:28:ciobanua
    DOI: 10.47743/rebs-2021-2-0009
    as

    Download full text from publisher

    File URL: http://rebs.feaa.uaic.ro/articles/pdfs/320.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.47743/rebs-2021-2-0009?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. James Zou & Londa Schiebinger, 2018. "AI can be sexist and racist — it’s time to make it fair," Nature, Nature, vol. 559(7714), pages 324-326, July.
    2. Donthu, Naveen & Kumar, Satish & Mukherjee, Debmalya & Pandey, Nitesh & Lim, Weng Marc, 2021. "How to conduct a bibliometric analysis: An overview and guidelines," Journal of Business Research, Elsevier, vol. 133(C), pages 285-296.
    3. Kaplan, Andreas & Haenlein, Michael, 2020. "Rulers of the world, unite! The challenges and opportunities of artificial intelligence," Business Horizons, Elsevier, vol. 63(1), pages 37-50.
    4. Loureiro, Sandra Maria Correia & Guerreiro, João & Tussyadiah, Iis, 2021. "Artificial intelligence in business: State of the art and future research agenda," Journal of Business Research, Elsevier, vol. 129(C), pages 911-926.
    5. Dwivedi, Yogesh K. & Hughes, Laurie & Ismagilova, Elvira & Aarts, Gert & Coombs, Crispin & Crick, Tom & Duan, Yanqing & Dwivedi, Rohita & Edwards, John & Eirug, Aled & Galanos, Vassilis & Ilavarasan, , 2021. "Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy," International Journal of Information Management, Elsevier, vol. 57(C).
    6. Thomas Davenport & Abhijit Guha & Dhruv Grewal & Timna Bressgott, 2020. "How artificial intelligence will change the future of marketing," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 24-42, January.
    7. Hsin-Ning Su & Pei-Chun Lee, 2010. "Mapping knowledge structure by keyword co-occurrence: a first look at journal papers in Technology Foresight," Scientometrics, Springer;Akadémiai Kiadó, vol. 85(1), pages 65-79, October.
    8. Yuval Noah Harari, 2017. "Reboot for the AI revolution," Nature, Nature, vol. 550(7676), pages 324-327, October.
    9. Kate Crawford & Ryan Calo, 2016. "There is a blind spot in AI research," Nature, Nature, vol. 538(7625), pages 311-313, October.
    10. Veale, Michael & Binns, Reuben, 2017. "Fairer machine learning in the real world: Mitigating discrimination without collecting sensitive data," SocArXiv ustxg, Center for Open Science.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Volkmar, Gioia & Fischer, Peter M. & Reinecke, Sven, 2022. "Artificial Intelligence and Machine Learning: Exploring drivers, barriers, and future developments in marketing management," Journal of Business Research, Elsevier, vol. 149(C), pages 599-614.
    2. Yucheng Zhang & Zhiling Wang & Lin Xiao & Lijun Wang & Pei Huang, 2023. "Discovering the evolution of online reviews: A bibliometric review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-22, December.
    3. Abdelhamid Zaidi & Samuel-Soma M. Ajibade & Majd Musa & Festus Victor Bekun, 2023. "New Insights into the Research Landscape on the Application of Artificial Intelligence in Sustainable Smart Cities: A Bibliometric Mapping and Network Analysis Approach," International Journal of Energy Economics and Policy, Econjournals, vol. 13(4), pages 287-299, July.
    4. Chen, Xun-Qi & Ma, Chao-Qun & Ren, Yi-Shuai & Lei, Yu-Tian & Huynh, Ngoc Quang Anh & Narayan, Seema, 2023. "Explainable artificial intelligence in finance: A bibliometric review," Finance Research Letters, Elsevier, vol. 56(C).
    5. Jeon, Yongwoog Andrew, 2022. "Let me transfer you to our AI-based manager: Impact of manager-level job titles assigned to AI-based agents on marketing outcomes," Journal of Business Research, Elsevier, vol. 145(C), pages 892-904.
    6. Carlos Sánchez‐Camacho & Rocío Carranza & David Martín‐Consuegra & Estrella Díaz, 2022. "Evolution, trends and future research lines in corporate social responsibility and tourism: A bibliometric analysis and science mapping," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(3), pages 462-476, June.
    7. Chenfeng Yan & Quan Chen & Xinyue Zhou & Xin Dai & Zhilin Yang, 2024. "When the Automated fire Backfires: The Adoption of Algorithm-based HR Decision-making Could Induce Consumer’s Unfavorable Ethicality Inferences of the Company," Journal of Business Ethics, Springer, vol. 190(4), pages 841-859, April.
    8. Korzeniowska Dominika & Brescia Valerio & Fijałkowska Justyna, 2022. "Behavioral Accounting: A Bibliometric Analysis of Literature Outputs in 2013–2022," Journal of Intercultural Management, Sciendo, vol. 14(3), pages 17-40, September.
    9. Chien-Wei Chuang & Ariana Chang & Mingchih Chen & Maria John P. Selvamani & Ben-Chang Shia, 2022. "A Worldwide Bibliometric Analysis of Publications on Artificial Intelligence and Ethics in the Past Seven Decades," Sustainability, MDPI, vol. 14(18), pages 1-13, September.
    10. Yi Lu & Gayani Karunasena & Chunlu Liu, 2022. "A Systematic Literature Review of Non-Compliance with Low-Carbon Building Regulations," Energies, MDPI, vol. 15(24), pages 1-20, December.
    11. Julian Andrés Diaz Tautiva & Felipe Ignacio Rifo Rivera & Sebastian Andrés Barros Celume & Sergio Andrés Rifo Rivera, 2024. "Mapping the research about organisations in the latin american context: a bibliometric analysis," Management Review Quarterly, Springer, vol. 74(1), pages 121-169, February.
    12. Armenia, Stefano & Franco, Eduardo & Iandolo, Francesca & Maielli, Giuliano & Vito, Pietro, 2024. "Zooming in and out the landscape: Artificial intelligence and system dynamics in business and management," Technological Forecasting and Social Change, Elsevier, vol. 200(C).
    13. Alabed, Amani & Javornik, Ana & Gregory-Smith, Diana, 2022. "AI anthropomorphism and its effect on users' self-congruence and self–AI integration: A theoretical framework and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 182(C).
    14. Makarius, Erin E. & Mukherjee, Debmalya & Fox, Joseph D. & Fox, Alexa K., 2020. "Rising with the machines: A sociotechnical framework for bringing artificial intelligence into the organization," Journal of Business Research, Elsevier, vol. 120(C), pages 262-273.
    15. Akter, Shahriar & Dwivedi, Yogesh K. & Sajib, Shahriar & Biswas, Kumar & Bandara, Ruwan J. & Michael, Katina, 2022. "Algorithmic bias in machine learning-based marketing models," Journal of Business Research, Elsevier, vol. 144(C), pages 201-216.
    16. Salvatore Monaco & Giovanna Sacchi, 2023. "Travelling the Metaverse: Potential Benefits and Main Challenges for Tourism Sectors and Research Applications," Sustainability, MDPI, vol. 15(4), pages 1-10, February.
    17. Luíza Neves Marques Fonseca & Angela Rocha, 2023. "Setbacks, interruptions and turnarounds in the internationalization process: a bibliometric and literature review of de-internationalization," Management Review Quarterly, Springer, vol. 73(3), pages 1351-1384, September.
    18. Kumari, Alka & Singh, Manvendra Pratap, 2023. "A journey of social sustainability in organization during MDG & SDG period: A bibliometric analysis," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    19. Hernández-Garrido Rocio & Orts-Cardador Jaime & Perez-Calañas Cinta, 2023. "The Role of Management in Sustainable Tourism: A Bibliometric Analysis Approach," Sustainability, MDPI, vol. 15(12), pages 1-21, June.
    20. Yong Qin & Zeshui Xu & Xinxin Wang & Marinko Skare, 2024. "Artificial Intelligence and Economic Development: An Evolutionary Investigation and Systematic Review," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 1736-1770, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aic:revebs:y:2021:j:28:ciobanua. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sireteanu Napoleon-Alexandru (email available below). General contact details of provider: https://edirc.repec.org/data/feaicro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.